Principal Architect & Data Engineer

Motorola Solutions • Toronto, ON

1d • CA$160,000 - CA$170,000 • Remote

About The Position

We are seeking a Principal Architect & Data Engineer to serve as the technical visionary and master builder for our next-generation data ecosystem. You will lead the strategy and execution required to unify our current data silos into a high-performance, Federated Enterprise Data Intelligence platform. In this role, you will balance the "heavy lifting" of massive-scale engineering with the "high-level" strategy of agentic AI and executive-level roadmapping. You will be responsible for creating an environment that provides business units with autonomous "sub-lake" capabilities while maintaining a single, governed enterprise source of truth.

Requirements

• 10+ years of professional experience in large-scale data engineering, architecture, and data platform roles, including 1+ years at a Staff or Principal level.
• Mastery of Python, SQL, and Spark.
• Proven experience with workflow orchestration (e.g., Airflow), Infrastructure as Code (Terraform/CloudFormation), and robust CI/CD testing pipelines.
• Deep, hands-on expertise in AWS (S3, Glue, Redshift, Bedrock) OR Google Cloud (BigQuery, Vertex AI).
• Expert knowledge of federated query engines, semantic layers, and modern "Zero-Copy" data sharing.
• Extensive experience operating production data platforms in batch and near-real-time environments with strong lineage, catalogs, and access controls serving as systems of record.
• Proven track record building enterprise data governance, contracts, and quality frameworks for both structured and unstructured data (including metadata standards, classification, and PII detection/redaction).
• Ability to define safe-access patterns for AI consumption to prevent sensitive data exposure. Experience enforcing security baselines (encryption, RBAC/ABAC, masking/tokenization) and policy-as-code.
• Experience establishing comprehensive frameworks for transparent cost attribution, optimized storage tiering, and advanced metadata tagging. Ability to advise executive leadership on operational efficiency by architecting automated triggers to detect and mitigate budget variances.
• Proven experience architecting RAG (Retrieval-Augmented Generation) patterns, vector readiness concepts (schemas, metadata, provenance), and managing enterprise AI registries.
• Experience defining business logic centrally (via semantic modeling) to seamlessly serve both human BI users and programmatic AI agents.
• A documented track record of developing junior and senior talent into high-performing architects.
• Exceptional ability to simplify complex technical hurdles into strategic business decisions for non-technical stakeholders.
• Ability to successfully navigate the needs of autonomous business units while firmly upholding central IT's security and quality mandates.
• 10+ years of experience in data engineering and/or architecture AND 5+ years AWS Redshift ecosystem AND 1+ years of experience at a staff or principal level

Responsibilities

• Architect the consolidation of disparate storage and compute environments into a unified, high-performance Lakehouse architecture (supporting Iceberg/Delta Lake).
• Scale and refine our internal agentic platform and registry, ensuring it is robust, model-agnostic, and enterprise-ready.
• Design a "Data Mesh" that enables business units to innovate independently within pre-defined guardrails and "Data Zones."
• Define the standards, contracts, and observability metrics that make structured and unstructured data trustworthy, discoverable, and easy to consume in both batch and near-real-time contexts.
• Set the global standard for high-performance query analytics, data modeling, and "Zero-Copy" architecture patterns.
• Serve as a formal mentor to intermediate and senior data architects and engineers, fostering a culture of technical rigor, automation, and continuous professional development.
• Guide technical delivery across federated teams, ensuring decentralized projects align with centralized enterprise architectural standards.
• Serve as the lead technical resource on the team, heavily influencing decisions regarding tools, implementation, design, and workflows.
• Present complex architectural roadmaps, ROI projections, and security risk assessments clearly to the Senior Leadership Team (SLT) and the Board.
• Partner with business leaders to ensure that every data product and ML model directly maps to corporate KPIs, such as Revenue Growth and Operational Efficiency.

Benefits

• Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed